Modeling and Analysis in Support of Organizational Decisions During the COVID-19 Pandemic
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Authors
Evangelista, Paul
Clark, Nicholas J.
Dabkowski, Matthew F.
Kloo, Ian
Issue Date
2021
Type
journal-article
Language
Keywords
COVID-19
Alternative Title
Abstract
The 2019 coronavirus disease (COVID-19) disrupted economic and social systems on an unprecedented scale. Organizational leaders faced unstructured problems that required novel analysis and evidenced-based decision-making approaches. This paper explains several analytical tools and problem-solving methodologies used at the United States Military Academy at West Point to support decision-making related to operational activities and future planning. While many of the tools apply basic analytical methods, the novelty of this paper lies in the unique application of the tools, visual presentation of data analytics, and the explanation of the contextual circumstances that prompted the development of these tools.
Description
Citation
Evangelista, P., Clark, N., Dabkowski, M., & Kloo, I. (2021). Modeling and Analysis in Support of Organizational Decisions During the COVID-19 Pandemic. Industrial and Systems Engineering Review, 9(1), 2-14. https://doi.org/10.37266/ISER.2021v9i1.pp2-14
Publisher
Industrial and Systems Engineering Review (ISER)
License
Journal
Volume
Issue
PubMed ID
ISSN
2329-0188